Lead Java Engineer - Cloud, AI & Banking Tech

JP Morgan Chase; Hyderabad City Taluka; Presencial; PKR 2.000.000 - 4.500.000; Jornada completa

Descripción de la vacante

JP Morgan Chase is seeking a Lead Software Engineer to join the Consumer and Community Banking technology team in Business Banking. You will act as a core technical contributor, delivering secure, scalable software solutions and driving AI-assisted engineering practices across multiple squads.

The role focuses on leading design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular), implementing event-driven patterns with Kafka, and enhancing production readiness

Formación

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Deep expertise inJava 8+ / Spring Boot, microservices, andReact/Angular.
• Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
• Experience with SQL databases with data modelling, query optimization, and performance tuning.
• Strong NoSQL experience:Cassandra / DynamoDB / Elastic Search(data modeling, reliability, scale).
• Strong experience withCloud Foundry/AWSand CI/CD strategy and execution.
• Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.
• Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
• Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.

Responsabilidades

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Lead technical design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular).
• Drive event-driven patterns using Kafka (idempotency, retries, ordering, error handling).
• Establish strong engineering practices (test strategy, automation, CI/CD quality gates, observability).
• Own production excellence: incident reduction, RCA prevention, performance tuning, and operational readiness.
• Mentor engineers and influence technical direction across squads and partner teams.

Conocimientos

Java 8+

Spring Boot

Microservices

React/Angular

Kafka

SQL

Cassandra

DynamoDB

CloudFoundry/AWS

CI/CD

Observability

Descripción del empleo

JP Morgan Chase is seeking a Lead Software Engineer to join the Consumer and Community Banking technology team in Business Banking. You will act as a core technical contributor, delivering secure, scalable software solutions and driving AI-assisted engineering practices across multiple squads.

The role focuses on leading design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular), implementing event-driven patterns with Kafka, and enhancing production readiness